infinite-horizon learning, and subjective expectations with Euler-equation learning. Under rational expectations, the model … necessitates of large, possibly unrealistically so, degrees of myopia. The same result persists under infinite-horizon learning …, given that agents are still remarkably far-sighted. But, under Euler-equation learning, the model can fit the data with only …

-term relationships were more resilient in the 2008/9 financial crisis. Based on these findings, we present a model of importer learning …

We develop a model of firm learning in volatile markets with noisy signals and test its predictions using historical … improvements from learning are faster where market signals are noisier. …

the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our …

We present evidence that is consistent with large disparities across firms in their on-the-job learning opportunities … framework interprets as skill-learning classes—using a clustering methodology that groups together firms with similar … predict on-the-job learning opportunities. …

The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly … interact in social-learning settings with distinct information structures. In each round of interaction, they use their … behavior in the long-run if and only if individuals distinguish social-learning settings and receive rich feedback after each …

We report two information cascade game experiments that directly test the impact of altruism on observational learning … opportunities to learn about the strategies played by observed which amplifies the impact of altruism on observational learning. …

The literature on learning in unknown environments emphasises reinforcing on actions which produce positive results …